ai-agent
A Model Context Protocol (MCP) server for accessing the OpenTofu Registry. This server allows language model assistants to search for and retrieve information about OpenTofu providers, modules, resources, and data sources.
Improve your AI infrastructure - AI memory engine. Memory for AI Agents in 5 lines of code.
Build dynamic memory for Agents and replace RAG using scalable, modular ECL (Extract, Cognify, Load) pipelines.
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Build agents that scale with a zero-cost abstraction.
Pickaxe is a simple Typescript library for building AI agents that are fault-tolerant and scalable. It handles the complexities of durable execution, queueing and scheduling, allowing you to focus on writing core business logic. It is not a framework.
Agent User Interaction Protocol.
AG-UI is a lightweight, event-based protocol that standardizes how AI agents connect to front-end applications. Built for simplicity and flexibility, it enables seamless integration between your AI agents and user interfaces.
AG-UI standardizes how front-end applications connect to AI agents through an open protocol. Think of it as a universal translator for AI-driven systems- no matter what language an agent speaks: AG-UI ensures fluent communication.
Your browser, with AI superpowers 🚀. Nxtscape is an open-source agentic browser.
🌐 Nxtscape is an open-source agentic browser that runs AI agents locally. Your privacy-first alternative to Arc, Dia, and Perplexity Comet.
simplify and secure MCP servers. ToolHive makes deploying MCP servers easy, secure and fun.
Run any Model Context Protocol (MCP) server — securely, instantly, anywhere.
ToolHive is the easiest way to discover, deploy, and manage MCP servers. Launch any MCP server in a locked-down container with a single command. No manual setup, no security headaches, no runtime hassles.
EnrichMCP is a Python framework that helps AI agents understand and navigate your data. Built on MCP (Model Context Protocol), it adds a semantic layer that turns your data model into typed, discoverable tools - like an ORM for AI.
The Data Layer for Agentic Enrichment and ML Features. The Virtual Feature Store. Turn your existing data infrastructure into a feature store.
Featureform is a virtual feature store. It enables data scientists to define, manage, and serve their ML model's features. Featureform sits atop your existing infrastructure and orchestrates it to work like a traditional feature store. By using Featureform, a data science team can solve the following organizational problems:
The AI Shell. AI enabled pair programmer for Claude, GPT, O Series, Grok, Deepseek, Gemini and 300+ models.
A comprehensive coding agent that integrates AI capabilities with your development environment.
An ever growing list of open source MCP servers 📡 📁 🚀
Explore thousands of MCP servers. And connect to them in a single function call.
Development environments for coding agents. Enable multiple agents to work safely and independently with your preferred stack.
Container Use lets each of your coding agents have their own containerized environment. Go from babysitting one agent at a time to enabling multiple agents to work safely and independently with your preferred stack.
Unified MCP Server Implementation.
A comprehensive Model Context Protocol (MCP) server implementing the latest MCP 2025-03-26 specification. Demonstrates MCP capabilities including tools, resources, prompts, roots, and enhanced sampling with model preferences. Features HackerNews and GitHub API integrations with AI-powered analysis through advanced MCP sampling.
The fast, Pythonic way to build MCP servers and clients.
The Model Context Protocol (MCP) is a new, standardized way to provide context and tools to your LLMs, and FastMCP makes building MCP servers and clients simple and intuitive. Create tools, expose resources, define prompts, and more with clean, Pythonic code.
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CLI for running large numbers of coding agents in parallel with git worktrees
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Manage multiple AI agents like Claude Code, Aider, Codex, and Amp. 10x your productivity.
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A lightweight, zero-overhead implementation of the Model Context Protocol (MCP) server in pure Bash.
Why? Most MCP servers are just API wrappers with schema conversion. This implementation provides a zero-overhead alternative to Node.js, Python, or other heavy runtimes.
Run MCPs without the complexity ⚡️
OneMCP is an app that lets you run any MCP without the complexity of downloading repos, reading docs, or setting up servers.
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Optimized Workforce Learning for General Multi-Agent Assistance in Real-World Task Automation.
🦉 OWL is a cutting-edge framework for multi-agent collaboration that pushes the boundaries of task automation, built on top of the CAMEL-AI Framework.
Turn Apps Into Agent-Ready Knowledge. Empower Agents with Deep Knowledge About Their Users. Give Users the Experience They Deserve
Airweave is a tool that lets agents semantically search any app. It's MCP compatible and seamlessly connects any app, database, or API, to transform their contents into agent-ready knowledge.
Airweave simplifies the process of making information retrievable for your agent. Whether you have structured or unstructured data, Airweave helps you break it into processable entities, store the data and make it retrievable through REST and MCP endpoints.
a Hugging Face Space by smolagents.
open source agent taking control of a computer desktop.
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GitHub's official MCP Server.
The GitHub MCP Server is a Model Context Protocol (MCP) server that provides seamless integration with GitHub APIs, enabling advanced automation and interaction capabilities for developers and tools.
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Suna by Kortix – is a generalist AI Agent that acts on your behalf.
Suna is a fully open source AI assistant that helps you accomplish real-world tasks with ease. Through natural conversation, Suna becomes your digital companion for research, data analysis, and everyday challenges—combining powerful capabilities with an intuitive interface that understands what you need and delivers results.
MCP Integrationfor AI Applications
The best way to get access to production-ready MCP servers at scale.
Klavis AI makes it effortless to connect to production-ready MCP servers & clients at scale. Integrate with your AI application in under a minute, and scale to millions of users using our open-source infrastructure, hosted servers, and multi-platform clients!
integrate LLM with any tool. ACI: Open-Source Infra to Power Unified MCP Servers.
ACI.dev is the open-source infrastructure layer for AI-agent tool-use. It gives your agents intent-aware access to 600+ tools with multi-tenant auth, granular permissions, and dynamic tool discovery—exposed as either direct function calls or through a Unified Model-Context-Protocol (MCP) server.
ACI.dev is the open source platform that connects your AI agents to 600+ tool integrations with multi-tenant auth, granular permissions, and access through direct function calling or a unified MCP server.
The PM for your AI agent. An AI-powered task-management system you can drop into Cursor, Lovable, Windsurf, Roo, and others.
Taskmaster is your AI's personal project manager. Organize, research, expand, prioritize, and ship tasks effortlessly. Enjoy permanent context, zero drift & instant clarity. It's free, open-source & API-friendly. Let's vibe productively.
Terminal Commands and File Editing for Claude.
This is MCP server for Claude that gives it terminal control, file system search and diff file editing capabilities.
MCP server for understanding AWS spend.
An MCP server for getting AWS spend data via Cost Explorer and Amazon Bedrock usage data via Model invocation logs in Amazon Cloud Watch through Anthropic's MCP (Model Control Protocol).
MCP Server to fetch costs and usage data from your Vantage account.
Use natural language to explore your organization’s cloud costs via MCP clients, like Claude, Cursor, and others. Ask questions about your organization's previous and current cloud cost spend, cost tagging, provider integrations, and more.
An MCP server that autonomously evaluates web applications.
Browser Agents to vibe-test your web app. Let browser agents vibe-test your vibe-coding.
10x your vibe coding by giving your coding agent a browser agent that can vibe-test web applications via MCP.
Transparent AI, Rooted in Research, Open to All. The Open Source Deep Researcher Tool. AI-Powered Online Data Information Synthesis Assistant.
CleverBee is a powerful Python-based research assistant agent using Large Language Models (LLMs) like Claude and Gemini, Playwright for web browsing, and Chainlit for an interactive UI. It performs research assistance by browsing the web, extracting content (HTML), cleaning it, and synthesizing findings based on user research topics.
AI-Powered, Non-Intrusive Terminal Assistant
TmuxAI is a non-intrusive terminal assistant that works alongside you in a tmux window. TmuxAI's design philosophy mirrors the way humans collaborate at the terminal. Just as a colleague sitting next to you, TmuxAI observes your screen, understand context from what's visible, and helps accordingly.
Open source, AI-native testing framework for web apps.
End-to-end testing framework powered by visual AI agents that see your interface and adapt to any changes in it.
macOS & Linux Containers for Computer-Use AI Agents on Apple Silicon. Run Docker Containers for Computer-Use AI Agents on Apple Silicon.
TL;DR: c/ua (pronounced "koo-ah", short for Computer-Use Agent) is a framework that enables AI agents to control full operating systems within high-performance, lightweight virtual containers. It delivers up to 97% native speed on Apple Silicon and works with any vision language models.
Open-Source Browser Agent for autonomously performing complex tasks on the web
AI-powered multi-agent builder. Let AI build multi-agent systems for you Build with Agents SDK. Connect MCP tools. Open-source.
AI Autonomous Coding Agent for VS Code.
Autonomous coding agent right in your IDE, capable of creating/editing files, executing commands, using the browser, and more with your permission every step of the way.
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Open-Source MCP servers
Production-ready and experimental MCP servers that extend AI capabilities through file access, database connections, API integrations, and other contextual services.
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MCP server for interacting with Neon Management API and databases.
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Containerized versions of hundreds of MCP servers 📡 🧠
While experimenting with Model Context Protocol (MCP) servers, we found that setting them up could be a bit tedious and time-consuming. To simplify the process, we created containerized versions of these servers—making it quick, easy, and secure for anyone to get started.
Your agentic CLI developer.
Sidekick is an agentic CLI-based AI tool inspired by Claude Code, Copilot, Windsurf and Cursor. It's meant to be an open source alternative to these tools, providing a similar experience but with the flexibility of using different LLM providers while keeping the agentic workflow.
A 100-line minimalist LLM framework for Agents, Task Decomposition, RAG, etc.
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Agents are AI systems that can perform workflows on users' behalf with a high degree of independence. This guide, designed for product and engineering teams, explores how to build agents with frameworks for identifying promise use cases, clear patterns for designing agent logic and orchestration, and best practices to ensure agents run safely, predictably, and effectively. It provides the foundational knowledge needed to confidently start building agents. Building reliable agents means starting with strong foundations - start small, validate with real users, and grow capabilities over time.
Lightweight coding agent that runs in your terminal.
Codex CLI is built for developers who already live in the terminal and want ChatGPT‑level reasoning plus the power to actually run code, manipulate files, and iterate – all under version control. In short, it’s chat‑driven development that understands and executes your repo.
Principles for building reliable LLM applications.
What are the principles we can use to build LLM-powered software that is actually good enough to put in the hands of production customers?
🎭 Stateful Serverless That Runs Anywhere. The easiest way to build stateful, AI agent, collaborative, or local-first applications. Deploy to Rivet, Cloudflare, Bun, Node.js, and more.
ActorCore is a framework for building stateful, scalable, realtime backend applications. Whether you’re building multiplayer games, collaborative apps, AI agent backends, or any stateful service, ActorCore provides the tools and patterns to simplify your architecture.
Security scanner for MCP servers
MCP-Shield scans your installed MCP (Model Context Protocol) servers and detects vulnerabilities like tool poisoning attacks, exfiltration channels and cross-origin escalations.
Claude Code is Anthropic’s new agentic coding tool. A command-line companion that can read, edit, and manage your projects through natural language prompts. It integrates directly into your development environment, removing friction and helping you focus on what matters most: writing great code.
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- Poking Around Claude Code @ Han, Not Solo.
- What makes Claude Code so damn good (and how to recreate that magic in your agent)!? @ minusx.
- Claude Code: Best practices for agentic coding @ Engineering at Anthropic.
- Agentic Coding Recommendations @ Armin Ronacher's Thoughts and Writings.
- Quand Claude Code pilote votre terminal... @ Korben :fr:.
- Turning Claude Code Into My Best Design Partner @ Between the Prompts.
- Using Claude Code to modernize a 25-year-old kernel driver @ Dmitry Brant.
- The babysitter problem @ chrisbeckman.dev.
- Claude Skills are awesome, maybe a bigger deal than MCP @ Simon Willison’s Weblog.
- Mastering Claude Code in 30 minutes @ Anthropic's YouTube.
Crafting Effective Prompts for Agentic AI Systems: Patterns and Practices.
🧠 Curated collection of system prompts for top AI tools. Perfect for AI agent builders and prompt engineers. Incuding: ChatGPT, Claude, Perplexity, Manus, Claude-Code, Loveable, v0, Grok, same new, windsurf, notion, and MetaAI.
An open protocol enabling communication and interoperability between opaque agentic applications.
One of the biggest challenges in enterprise AI adoption is getting agents built on different frameworks and vendors to work together. That’s why we created an open Agent2Agent (A2A) protocol, a collaborative way to help agents across different ecosystems communicate with each other.
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The first and the best multi-agent framework. Finding the Scaling Law of Agents
Building Multi-Agent Systems for Task Automation.
🐫 CAMEL is an open-source community dedicated to finding the scaling laws of agents. We believe that studying these agents on a large scale offers valuable insights into their behaviors, capabilities, and potential risks. To facilitate research in this field, we implement and support various types of agents, tasks, prompts, models, and simulated environments.
CAMEL emerges as the earliest LLM-based multi-agent framework, and is now a generic framework to build and use LLM-based agents for real-world task solving. We believe that studying these agents on a large scale offers valuable insights into their behaviors, capabilities, and potential risks. To facilitate research in this field, we implement and support various types of agents, tasks, prompts, models, and simulated environments.
MCP server for your browser.
Browser MCP is a Model Context Provider (MCP) server that allows AI applications to control your browser.
If you want to automate actions on a website, like repeatedly fill out a form, you normally can't do it with AI apps like Cursor or Claude because they don't have access to a web browser. With Browser MCP, you can connect AI apps to your browser so they can automate tasks on your behalf.
Instantly create a Remote MCP server for any GitHub project.
GitMCP is a free, open-source service that seamlessly transforms any GitHub project into a remote Model Context Protocol (MCP) endpoint, enabling AI assistants to access and understand the project's documentation effortlessly.
specialized MCP servers that bring AWS best practices directly to your development workflow .
A Ruby Implementation of the Model Context Protocol.
Connect AI models to your Ruby applications with ease No complex protocols, no integration headaches, no compatibility issues – just beautiful, expressive Ruby code.
An SDK for working with LLMs and AI Agents from Apache Airflow, based on Pydantic AI.
It allows users to call LLMs and orchestrate agent calls directly within their Airflow pipelines using decorator-based tasks. The SDK leverages the familiar Airflow @task syntax with extensions like @task.llm, @task.llm_branch, and @task.agent.
Transform Al Prototypes into Enterprise-Grade Products.
Langtrace is an Open Source Observability and Evaluations Platform for Al Agents.
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PostgreSQL Model Context Protocol (PG-MCP) Server.
A Model Context Protocol (MCP) server for PostgreSQL databases with enhanced capabilities for AI agents.
Playwright Tools for MCP.
A Model Context Protocol (MCP) server that provides browser automation capabilities using Playwright. This server enables LLMs to interact with web pages through structured accessibility snapshots, bypassing the need for screenshots or visually-tuned models.
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